Accuracy of Computer Simulations that use Common Pseudo-random Number Generators

International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California === In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data s...

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Bibliographic Details
Main Authors: Dusitsin, Krid, Kosbar, Kurt
Other Authors: University of Missouri – Rolla
Language:en_US
Published: International Foundation for Telemetering 1998
Subjects:
Online Access:http://hdl.handle.net/10150/609238
http://arizona.openrepository.com/arizona/handle/10150/609238
Description
Summary:International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California === In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise signals. This error may cause the simulation bit-error-rate (BER) to be artificially high or low. In this paper, the problem is described through the use of confidence intervals. Tests are performed on several pseudo-random generators to access which ones are acceptable for computer simulation.